Jing Bu

883 citations
10 papers · 729 · h-index 9

Impact in

    • Immune Response and Inflammation
    • interferon and immune responses
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Jing Bu

9 papers receiving 723 citations

Peers

Jing Bu
Comparison fields: 5 of 85
  • Immunology 192
  • Neurology 68
  • Cellular and Molecular Neuroscience 144
  • Rheumatology 119
  • Physiology 168
Replace L Marinova-Mutafchieva with:
L Marinova-Mutafchieva United Kingdom
Sinan Khor United States
Zhitao Han China
Toni Paladino Canada
Athina Tzinia Greece
Janis McFerrin United States
Guoda Ma China
Masatoyo Nishizawa Japan
Vasileios Mastorodemos Greece
Gabriela Estepa United States
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Citations per field
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L Marinova-Mutafchieva · 1×
Citations per year

Countries citing papers authored by Jing Bu

Since Specialization
Citations

This map shows the geographic impact of Jing Bu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Bu more than expected).

Fields of papers citing papers by Jing Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Bu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Bu. The network helps show where Jing Bu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jing Bu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jing Bu Line = papers co-authored together Jing Bu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006290
2 2013106
3 201187
4 200278
5 200363
6 200938
7 200332
8 200425
9 201110
10 20140

About Jing Bu

Jing Bu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Surgery and Molecular Biology, having authored 10 papers that have together received 729 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Memory and Neural Mechanisms (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Magnolia and Illicium research (2 papers), Nuclear Receptors and Signaling (2 papers), interferon and immune responses (1 paper), Oxidative Organic Chemistry Reactions (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Immunology (192 citations), Neurology (68 citations), Cellular and Molecular Neuroscience (144 citations), Rheumatology (119 citations) and Physiology (168 citations). Jing Bu has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Linrong Lu, Koichi S. Kobayashi, Laurie H. Glimcher, Mari L. Shinohara, Miriam B. F. Werneck, Harvey Cantor, Changiz Geula, Nicholas Nagykery, Chuang‐Kuo Wu and Tomoko Sengoku. Their work appears in journals such as The Journal of Comparative Neurology, Acta Neuropathologica, Biochimica et Biophysica Acta (BBA) - General Subjects, Nature Immunology and Journal of Neuropathology & Experimental Neurology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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